- Module 1: Discover how data systems and roles are evolving and explore the differences between on-premises and cloud data solutions using sample business cases.
- Learn which key factors are driving changes in data generation, roles, and technologies.
- Compare on-premises data technologies to cloud data technologies.
- Outline how the role of the data professional is changing.
- Identify use cases that apply these changes.
- Module 2: Explore the broad array of Azure technologies that analyze text or images and relational, nonrelational, or streaming data.
- Contrast structured data with nonstructured data.
- Explore common Azure data platform technologies and learn when to use them.
- Understand technologies that support the common Azure data platform technologies.
- Module 3: Learn about the responsibilities of a data engineer, how they relate to the jobs of other data and AI roles, and explore common data engineering practices.
- List the roles involved in modern data projects.
- Outline data-engineering practices.
- Explore the high-level process for designing a data-engineering project.
In this module you will:
In this module you will:
In this module you will:
